Articles | Volume 25, issue 11
https://doi.org/10.5194/nhess-25-4527-2025
https://doi.org/10.5194/nhess-25-4527-2025
Research article
 | 
13 Nov 2025
Research article |  | 13 Nov 2025

Assessing atoll island future habitability in the context of climate change using Bayesian networks

Mirna Badillo-Interiano, Jérémy Rohmer, Gonéri Le Cozannet, and Virginie Duvat

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2024-3884', Anonymous Referee #1, 26 Mar 2025
    • AC1: 'Reply on RC1', Mirna Badillo Interiano, 10 Jun 2025
  • RC2: 'Comment on egusphere-2024-3884', Anonymous Referee #2, 26 Mar 2025
    • AC2: 'Reply on RC2', Mirna Badillo Interiano, 10 Jun 2025

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Reconsider after major revisions (further review by editor and referees) (22 Jun 2025) by Silvia De Angeli
AR by Mirna Badillo Interiano on behalf of the Authors (24 Jul 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (24 Jul 2025) by Silvia De Angeli
RR by Anonymous Referee #2 (07 Aug 2025)
ED: Publish subject to minor revisions (review by editor) (18 Aug 2025) by Silvia De Angeli
AR by Mirna Badillo Interiano on behalf of the Authors (26 Aug 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to technical corrections (31 Aug 2025) by Silvia De Angeli
ED: Publish subject to technical corrections (21 Sep 2025) by Bruce D. Malamud (Executive editor)
AR by Mirna Badillo Interiano on behalf of the Authors (29 Sep 2025)  Manuscript 
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Short summary
Small islands face increasing threats from climate change. In this context, exploring new modeling approaches is needed to improve climate risk assessments. We applied Bayesian Networks to assess the risk to future habitability on four atoll islands. The findings show that Bayesian Networks are powerful tools for efficiently assessing climate-related risks by combining expert judgments and confidence levels, providing a comprehensive framework to assess risks in data-limited island settings.
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